Welcome to the Artificial Intelligence Incident Database

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Scientists Built an AI to Give Ethical Advice, But It Turned Out Super Racist

Scientists Built an AI to Give Ethical Advice, But It Turned Out Super Racist

Oct 22, 2021

We’ve all been in situations where we had to make tough ethical decisions. Why not dodge that pesky responsibility by outsourcing the choice to a machine learning algorithm? That’s the idea behind As... (Read More)

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Submitted links are added to a review queue to be resolved to a new or existing incident record. Incidents submitted with full details are processed before URLs not possessing the full details.

About the Database

The AI Incident Database is the only collection of AI deployment harms or near harms across all disciplines, geographies, and use cases.

You are invited to submit reports to the database, whereupon accepted incidents will be indexed and made discoverable to people developing and deploying the next generation of AI technology to the world. Artificial intelligence will only be a benefit to people and society if we collectively record and learn from its failings. (Learn More)

About Partnership on AI

The Partnership on AI is the leading forum addressing the most important and difficult decisions on the future of AI. We are a non-profit that invites diverse voices into the process of technical governance, design, and deployment of AI technologies. Partners work together across industry, academia, and civil society to understand the implications of AI advancements and ensure they benefit society equitably.

The AI Incident Database is one of PAI’s key projects because it is a tangible resource on what can happen if AI is not built or deployed in a manner which considers real world implications. (Learn More)

The Database in Print

Read about the database on the PAI Blog, Vice News, Venture Beat, Wired, and arXiv among other outlets.

Incident Report Submission Leaderboards

These are the persons and entities credited with creating and submitted incident reports. More details are available on the leaderboard page.

Latest Blog Post

The First Taxonomy of AI Incidents

In November the Partnership on AI AI Incident Database (AIID) publicly invited users to instantly search through thousands of pages of…... (Read More)

By Sean McGregor

These are the most common rooted and stemmed words across all incident reports. More details are available on its data summary page.

  • system: 1907
  • new: 1890
  • compani: 1821
  • peopl: 1760
  • googl: 1635
  • car: 1522
  • algorithm: 1439
  • sai: 1359
  • robot: 1343
  • human: 1334